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Requirement Risk Identification: A Practitioner's Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 102 - Number 15 |
| Year of Publication: 2014 |
| Authors: Halima Sadia, Md. Rizwan Beg, Md. Faisal |
10.5120/17890-8886
|
Halima Sadia, Md. Rizwan Beg, Md. Faisal . Requirement Risk Identification: A Practitioner's Approach. International Journal of Computer Applications. 102, 15 ( September 2014), 13-15. DOI=10.5120/17890-8886
Abstract
Software project development has always been associated with high failure rate. The failure of a software project depends on rooted risks. These risks don't come into face at early stages of requirement gathering and analysis which carried on in the further phases of development greatly affects the cost of a software project. Researchers consider requirements uncertainty and risk as a problem to be addressed during the early stages of software development. It is a well known fact that it is more feasible to make changes to the software system under development in the early stages of the software development cycle. However, there are a very few techniques available for assessing risk at the requirements level and those that are available are highly subjective and are not based on any formal design models. In this paper, a method has been proposed to implement inspection technique for identifying the key requirement risk factors responsible in achieving successful outcome and use a Bayesian network approach to establish a model for predicting the risks that leads to fail a software projects.
References
- Standish Report 2009
- Software Requirement Risk Assessment Using UML.
- K. E. Wiegers, "Software requirements", Microsoft press 1999.
- Lamswede, A. Requirements Engineering in the Year 00: A research perspective. In proceeding of the 22nd International conference on Software Engineering (ICSE'2000), Limerick, Ireland, 5-19, ACM Press
- S. Nayak, R. Khan and R. Beg "Evaluation of Requirement Defects: An Implementation of Identification Technique" ICIET2012, Journal of Procedia Technology
- Laskey, K. , Bayesian Inference and Decision Theory, SYST 644 Class Notes . Dept. of Systems Engineering, George Mason University,http://ite. gmu. edu/-klaskey/SYST664/SY ST664. html Spring 2003.
- Lan Yuqing, Zhao Tong, Bayesian Network to Construct Interoperability Model of Open Source Software, International Conference on Computer Science and Software Engineering,2008
- Deborah Ashby , Bayesian statistics in medicine, Paper Celebrating the 25th Anniversary of Statistics in Medicine, STATISTICS IN MEDICINE,2006.
- Stamelos,I. ,Angelis,L. ,P. ,&Sakellaris,E. on the use of Bayesian Belief Network for the prediction of software productivity, Information and software Technology,200 3.
- Ward,S. ,&Chapman,C. Transforming project risk management into project uncertainty management, International Journal of Project management,200 3.
- Norman Fenton•,b• ' ,Martin Neil'•b',et aI, Predicting software defects invarying development lifecycles using Bayesian nets. Information and Software Technology 4 9,200
- Wooff,A,D. , Goldstein,M. ,&Coolen,P. A. F. , Bayesian graphical models for software testing, IEEE Transactions on software Engineering, 2002.
- Y. P. Wu, Q. P. Hu, K. L. Poh, S. H. Ng and M. Xie, Bayesian Networks Modeling for Software Inspection Effectiveness, I I th Pacific Rim International Symposium on Dependable Computing, 2005
- Cooper G. . Computational complexity of probabilistic inference using Bayesian belief networks[A]. Artificial Intelligence. 1990
- Neil M. , Littlewood B. , Fenton N. , Applying Bayesian Belief Networks to Systems Dependability Assessment. Proceedings of 4th Safety Critical Systems Symposium, Germany: Springer Verlag, 1996
- Xiaoxu Wang "Software Project Schedule Variance Prediction Using Bayesian Network" 2010 IEEE
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